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Shazia Akbar
Shazia Akbar
Altis Labs
Verified email at altislabs.com - Homepage
Title
Cited by
Cited by
Year
An automated pattern recognition system for classifying indirect immunofluorescence images of HEp-2 cells and specimens
S Manivannan, W Li, S Akbar, R Wang, J Zhang, SJ McKenna
Pattern Recognition 51, 12-26, 2016
952016
Gland segmentation in colon histology images using hand-crafted features and convolutional neural networks
W Li, S Manivannan, S Akbar, J Zhang, E Trucco, SJ McKenna
2016 IEEE 13th international symposium on biomedical imaging (ISBI), 1405-1408, 2016
832016
HEp-2 cell classification using multi-resolution local patterns and ensemble SVMs
S Manivannan, W Li, S Akbar, R Wang, J Zhang, SJ McKenna
2014 1st Workshop on Pattern Recognition Techniques for Indirect …, 2014
542014
Automated and manual quantification of tumour cellularity in digital slides for tumour burden assessment
S Akbar, M Peikari, S Salama, AY Panah, S Nofech-Mozes, AL Martel
Scientific reports 9 (1), 14099, 2019
492019
Comparing computer-generated and pathologist-generated tumour segmentations for immunohistochemical scoring of breast tissue microarrays
S Akbar, LB Jordan, CA Purdie, AM Thompson, SJ McKenna
British Journal of Cancer 113 (7), 1075-1080, 2015
452015
Transitioning between convolutional and fully connected layers in neural networks
S Akbar, M Peikari, S Salama, S Nofech-Mozes, A Martel
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017
282017
Spie-aapm-nci breastpathq challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment
N Petrick, S Akbar, KH Cha, S Nofech-Mozes, B Sahiner, MA Gavrielides, ...
Journal of Medical Imaging 8 (3), 034501-034501, 2021
242021
Immunohistochemical analysis of breast tissue microarray images using contextual classifiers
SJ McKenna, T Amaral, S Akbar, L Jordan, A Thompson
Journal of pathology informatics 4 (2), 13, 2013
232013
Assessment of residual breast cancer cellularity after neoadjuvant chemotherapy using digital pathology [data set]
AL Martel, S Nofech-Mozes, S Salama, S Akbar, M Peikari
The Cancer Imaging Archive, 2019
212019
Hep-2 specimen classification using multi-resolution local patterns and SVM
S Manivannan, W Li, S Akbar, R Wang, J Zhang, SJ McKenna
2014 1st Workshop on Pattern Recognition Techniques for Indirect …, 2014
202014
Automated segmentation of DCIS in whole slide images
N Seth, S Akbar, S Nofech-Mozes, S Salama, AL Martel
Digital Pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 10 …, 2019
192019
Tumor localization in tissue microarrays using rotation invariant superpixel pyramids
S Akbar, L Jordan, AM Thompson, SJ McKenna
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 1292-1295, 2015
162015
The transition module: a method for preventing overfitting in convolutional neural networks
S Akbar, M Peikari, S Salama, S Nofech-Mozes, AL Martel
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2019
132019
Determining tumor cellularity in digital slides using resnet
S Akbar, M Peikari, S Salama, S Nofech-Mozes, AL Martel
Medical Imaging 2018: Digital Pathology 10581, 233-239, 2018
122018
Spin-context segmentation of breast tissue microarray images
S Akbar, SJ McKenna, T Amaral, L Jordan, A Thompson
Ann BMVA 2013, 1-11, 2013
92013
Cluster-based learning from weakly labeled bags in digital pathology
S Akbar, AL Martel
arXiv preprint arXiv:1812.00884, 2018
62018
Local structure prediction for gland segmentation
S Manivannan, W Li, S Akbar, J Zhang, E Trucco, SJ McKenna
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 799-802, 2016
62016
Tumour segmentation in breast tissue microarray images using spin-context
S Akbar, T Amaral, SJ McKenna, A Thompson, L Jordan
Proc. Medical Image Understanding and Analysis, 25-30, 2012
62012
End-to-End Non–Small-Cell Lung Cancer Prognostication Using Deep Learning Applied to Pretreatment Computed Tomography
FS Torres, S Akbar, S Raman, K Yasufuku, C Schmidt, A Hosny, ...
JCO Clinical Cancer Informatics 5, 1141-1150, 2021
52021
Automated imaging-based prognostication (IPRO) for stage I non-small cell lung cancer using deep learning applied to computed tomography.
FS Torres, S Akbar, S Raman, K Yasufuku, TJ Hannessy, ...
Journal of Clinical Oncology 40 (16_suppl), e20575-e20575, 2022
42022
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